Matteo Rucco

Computer Science · Physical Sciences

15h-index673citations58works1.52yr avg
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Research Topics

Topological and Geometric Data Analysis(28), Cell Image Analysis Techniques(7), Artificial Immune Systems Applications(6), Bioinformatics and Genomic Networks(5), Explainable Artificial Intelligence (XAI)(4)

Publications58 total

Persistent Entropy as a Detector of Phase Transitions
ArXiv.org·2026Open Access
Persistent Entropy as a Detector of Phase Transitions
arXiv (Cornell University)·2026Open Access
An in-depth analysis of data reduction methods for sustainable deep learning
Open Research Europe·2024· 1 citedOpen Access
An in-depth analysis of data reduction methods for sustainable deep learning
Open Research Europe·2024· 5 citedOpen Access
Laser ablation for spongiform thyroid nodules: identifying baseline nodule volume and energy to be delivered for successful treatment
Endocrine·2024· 3 cited
Application of the representative measure approach to assess the reliability of decision trees in dealing with unseen vehicle collision data
arXiv (Cornell University)·2024· 1 citedOpen Access
An In-Depth Analysis of Data Reduction Methods for Sustainable Deep Learning
arXiv (Cornell University)·2024Open Access
Application of the Representative Measure Approach to Assess the Reliability of Decision Trees in Dealing with Unseen Vehicle Collision Data
Communications in computer and information science·2024· 2 cited
On the Intersection of Explainable and Reliable AI for Physical Fatigue Prediction
IEEE Access·2022· 22 citedOpen Access
Risk prediction of clinical adverse outcomes with machine learning in a cohort of critically ill patients with atrial fibrillation
Scientific Reports·2021· 24 citedOpen Access
Online Prediction for Safe Human-Robot Collaboration: A Model of the Human Arm
Procedia CIRP·2021· 4 citedOpen Access
Online Prediction for Safe Human-Robot Collaboration: A Model of the Human Arm
Zenodo (CERN European Organization for Nuclear Research)·2020· 1 citedOpen Access
Towards Personalized Diagnosis of Glioblastoma in Fluid-Attenuated Inversion Recovery (FLAIR) by Topological Interpretable Machine Learning
Mathematics·2020Open Access
Twelve-Month Volume Reduction Ratio Predicts Regrowth and Time to Regrowth in Thyroid Nodules Submitted to Laser Ablation: A 5-Year Follow-Up Retrospective Study
Korean Journal of Radiology·2020· 45 citedOpen Access
Machine Learning Prediction of Radiofrequency Thermal Ablation Efficacy: A New Option to Optimize Thyroid Nodule Selection
European Thyroid Journal·2019· 27 citedOpen Access
Towards personalized diagnosis of Glioblastoma in Fluid-attenuated\n inversion recovery (FLAIR) by topological interpretable machine learning
arXiv (Cornell University)·2019Open Access
Fast Glioblastoma Detection in Fluid-attenuated inversion recovery (FLAIR) images by Topological Explainable Automatic Machine Learning
arXiv (Cornell University)·2019Open Access
Topological Run-time Monitoring for Complex Systems
arXiv (Cornell University)·2019Open Access
Separating Topological Noise from Features Using Persistent Entropy
idUS (Universidad de Sevilla)·2019Open Access
Supplementary Material for: Machine Learning Prediction of Radiofrequency Thermal Ablation Efficacy: A New Option to Optimize Thyroid Nodule Selection
Figshare·2019Open Access
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Frequent Co-authors

Emanuela Merelli(20), Rocı́o González-Dı́az(11), Luca Tesei(8), Nieves Atienza(8), Lorenzo Falsetti(6), Cinzia Nitti(5), Aldo Salvi(5), Víctor Toscano-Durán(5), Eduardo Paluzo-Hidalgo(5), P.M.A. Sloot(4), Marco Piangerelli(4), Roberto Negro(4), María-José Jiménez(4), Cristina Cristalli(4), Enrico Concettoni(4), Andrea Ferrante(4), Jacopo Binchi(3), Maurilio Deandrea(3), Franca Giannini(3), Katia Lupinetti(3)